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SM Handles:
Educational Qualification (highest):
  • Submitted Ph.D. Data Scioence (MPSTME, NMIMS University)
  • M.E. Computer Engineering (2010-2013 from Mumbai University)
  • B.E. Information Technology (2003-2007 From Mumbai University)

Area of Research:Data Science, Data Analytics, Business Visualization

Department: Computer Engineering

Basic Information:
  • Email Id: mahesh.mali@nmims.edu
  • Landline extension: 110526
  • Desk (location):4th Floor, 402 Faculty Area
About (Awards, Patents, Committees)

Committees

  • TIP Coordinator of MBA Tech of Computer Engineering
  • SAS Emerging Educator Award 2021, SAS Institute, Asia Pacific
  • Inspire Faculty Excellence Award 2017, Infosys Ltd., Pune
  • Head of Operations – BADM 2017 and BADM 2018
  • In Charge of SAS related Activities at NMIMS University
Journals

Publications

  • A. Sharma, R. Singh, P. Churi, M. Mali “Innovative Course Delivery using Analyze – Group – Design – Optimize (AGDO) Methodology: Case Study of Entity-Relationship Model”, Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 820-825 (2020).
  • Mali, Mahesh, Dhirendra S. Mishra, and M. Vijayalaxmi. “Multifaceted recommender systems methods: A review.” Journal of Statistics and Management Systems 23.2 (2020): 349-361.
  • Mali, Mahesh, Dhirendra Mishra, and M. Vijayalaxmi. “Benchmarking for Recommender System (MFRISE).” 3 c TIC: cuadernos de desarrollo aplicados a las TIC 11.2 (2022): 146-156.
Conferences
  • Mahesh Mali, Dhirendra S. Mishra, and M. Vijayalaxmi. “Multi-Clustering based Hybrid Recommendation System.”, International Conference on Innovation in Technology & Management (ICITM), NIT Jalandhar, 2022.
  • Mahesh Mali, Dhirendra S. Mishra, M. Vijayalaxmi, et al. “Tag-based Recommendation System.”, EmergIn23 Conference Noida Institute of Engineering, 2023.
Chapters
  • Mehta, Yash, et al. “A comparative study of recommender systems.” ICDSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications. Springer Singapore, 2020.
Books
  • Mali, Mahesh (2021). “ADVANCED DATA MANAGEMENT TECHNOLOGY” (2nd ed.). Tech Knowledge Publication. ISBN: 978-93-91496-29-6
  • Mali, Mahesh (2021). “Database Management Systems” (1st ed.). Tech Knowledge Publication. ISBN:978-93-89299-64-9
  • Mali, Mahesh (2020). “Big Data Analytics” (1st ed.). Tech Knowledge Publication. ISBN:978-93-89503-21-0
  • Mali, Mahesh (2020). “Relational Database Management Systems” (1st ed.). Tech Knowledge Publication. ISBN:978-93-89424-98-0
  • Mali, Mahesh (2019). “Human Machine Interaction” (1st ed.). Tech Knowledge Publication. ISBN:978-93-89748-83-3
  • Mali, Mahesh (2019). “Next Generation Technologies” (2nd ed.). Tech Knowledge Publication. ISBN:978-93-89233-24-7
  • Mali, Mahesh (2019). “Principles of Database” (2nd ed.). Tech Knowledge Publication. ISBN:978-93-89233-90-2.
  • Mali, Mahesh (2018). “Cloude Computing” (3rd ed.). Tech Knowledge Publication. ISBN:973-92-85656-02-5
Consultancy Project
  • USB Security Project, Tumor Trace Inc. UK, with NMIMS University (2016)
Academic Experience: (Number of Experience: = 15 Years)
  • Currently working with MPSTME, NMIMS University, Assistant Professor September 2016 -Till date
  • Worked as Asst. Professor in St Francis, Mumbai University, Mumbai from June 2010 to Dec 2014
  • Worked as Lecturer at Xavier Institute of Technology, Mumbai University, Mumbai from June 2009 to May 2010
Industry Experience: (Number of Experience: = 2 Years)
  • Sr Data Executive Analyst, NMIMS University, March 2015 – December 2015
  • Sr Software Engineer, Mastek Ltd, India, September 2007 – July 2009
Number of M. Tech Students Guided: 01
  • Bluetooth Ad hoc Networks (Nidhi Divecha)
Certifications:

Oracle Certified PLSQL Developer associate:

  • Certification 1 (1Z0-007): SQL Programming
  • Certification 2 (1Z0-147): PLSQL Devlopment and Programming

SAS Certified Data Science Programmer:

  • Certification 1: BASE SAS Programming
  • Certification 2: SAS Visual Analytics
  • Certification 3: SAS Predictive Analytics using SAS E-Minor